 | 2012 |
| 56 |  | Francisco Charte,
Antonio Jesús Rivera Rivas,
María José del Jesús,
Francisco Herrera:
Improving Multi-label Classifiers via Label Reduction with Association Rules.
HAIS (2) 2012: 188-199 |
| 55 |  | Victoria López,
Alberto Fernández,
María José del Jesús,
Francisco Herrera:
Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations.
ICPRAM (2) 2012: 98-107 |
| 2011 |
| 54 |  | Antonio Jesús Rivera Rivas,
M. Dolores Pérez-Godoy,
María José del Jesús,
Pedro Pérez-Recuerda,
María Pilar Frías,
Manuel Parras:
A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price.
CAEPIA 2011: 263-272 |
| 53 |  | Antonio Jesús Rivera Rivas,
Francisco Charte,
M. Dolores Pérez-Godoy,
María José del Jesús:
Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification.
IWANN (1) 2011: 41-48 |
| 52 |  | Antonio Jesús Rivera Rivas,
Pedro Pérez-Recuerda,
M. Dolores Pérez-Godoy,
María José del Jesús,
María Pilar Frías,
Manuel Parras:
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods.
Appl. Intell. 34(3): 331-346 (2011) |
| 51 |  | Francisco Herrera,
Cristóbal J. Carmona,
Pedro González,
María José del Jesús:
An overview on subgroup discovery: foundations and applications.
Knowl. Inf. Syst. 29(3): 495-525 (2011) |
| 50 |  | María José del Jesús,
José A. Gámez,
Pedro González,
José Miguel Puerta:
On the discovery of association rules by means of evolutionary algorithms.
Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 1(5): 397-415 (2011) |
| 2010 |
| 49 |  | M. Dolores Pérez-Godoy,
Pedro Pérez-Recuerda,
Antonio Jesús Rivera Rivas,
María José del Jesús,
María Pilar Frías,
Manuel Parras:
Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market.
IEA/AIE (1) 2010: 205-214 |
| 48 |  | M. Dolores Pérez-Godoy,
Antonio Jesús Rivera Rivas,
Cristóbal J. Carmona,
María José del Jesús:
A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design.
IJCNN 2010: 1-7 |
| 47 |  | Alberto Fernández,
María José del Jesús,
Francisco Herrera:
Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning.
IPMU 2010: 89-98 |
| 46 |  | Cristóbal J. Carmona,
Pedro González,
María José del Jesús,
Francisco Herrera:
NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery.
IEEE T. Fuzzy Systems 18(5): 958-970 (2010) |
| 45 |  | Francisco José Berlanga,
Antonio Jesús Rivera Rivas,
María José del Jesús,
Francisco Herrera:
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems.
Inf. Sci. 180(8): 1183-1200 (2010) |
| 44 |  | Alberto Fernández,
María José del Jesús,
Francisco Herrera:
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets.
Inf. Sci. 180(8): 1268-1291 (2010) |
| 43 |  | M. Dolores Pérez-Godoy,
Pedro Pérez-Recuerda,
Antonio Jesús Rivera Rivas,
María José del Jesús,
Cristóbal J. Carmona,
María Pilar Frías,
Manuel Parras:
CO2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market.
Int. J. Hybrid Intell. Syst. 7(1): 75-87 (2010) |
| 42 |  | M. Dolores Pérez-Godoy,
Alberto Fernández,
Antonio Jesús Rivera Rivas,
María José del Jesús:
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets.
Pattern Recognition Letters 31(15): 2375-2388 (2010) |
| 41 |  | M. Dolores Pérez-Godoy,
Antonio Jesús Rivera Rivas,
Francisco José Berlanga,
María José del Jesús:
CO2RBFN: an evolutionary cooperative-competitive RBFN design algorithm for classification problems.
Soft Comput. 14(9): 953-971 (2010) |
| 2009 |
| 40 |  | Cristóbal J. Carmona,
Pedro González,
María José del Jesús,
Francisco Herrera:
An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery.
FUZZ-IEEE 2009: 1706-1711 |
| 39 |  | Cristóbal J. Carmona,
Pedro González,
María José del Jesús,
Francisco Herrera:
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery.
HAIS 2009: 573-580 |
| 38 |  | Alberto Fernández,
Francisco José Berlanga,
María José del Jesús,
Francisco Herrera:
Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets.
IFSA/EUSFLAT Conf. 2009: 42-47 |
| 37 |  | Elisabet Parras-Gutierrez,
Víctor M. Rivas,
María José del Jesús:
E-tsRBF: Preliminary Results on the Simultaneous Determination of Time-Lags and Parameters of Radial Basis Function Neural Networks for Time Series Forecasting.
ISDA 2009: 1445-1449 |
| 36 |  | Alberto Fernández,
María José del Jesús,
Francisco Herrera:
Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System.
IWANN (1) 2009: 294-301 |
| 35 |  | Maribel García Arenas,
Elisabet Parras-Gutierrez,
Víctor M. Rivas,
Pedro A. Castillo,
María José del Jesús,
Juan Julián Merelo Guervós:
Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms.
IWANN (1) 2009: 383-390 |
| 34 |  | M. Dolores Pérez-Godoy,
Antonio Jesús Rivera Rivas,
Alberto Fernández,
María José del Jesús,
Francisco Herrera:
A Preliminar Analysis of CO2RBFN in Imbalanced Problems.
IWANN (1) 2009: 57-64 |
| 33 |  | Pedro L. López,
Antonio Jesús Rivera Rivas,
M. Dolores Pérez-Godoy,
María José del Jesús,
Cristóbal J. Carmona:
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design.
IWANN (1) 2009: 752-759 |
| 32 |  | Elisabet Parras-Gutierrez,
Víctor M. Rivas,
María José del Jesús,
Juan J. Merelo Guervós:
Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification.
IWANN (2) 2009: 37-40 |
| 31 |  | Cristóbal Romero,
Pedro González,
Sebastián Ventura,
María José del Jesús,
Francisco Herrera:
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data.
Expert Syst. Appl. 36(2): 1632-1644 (2009) |
| 30 |  | Alberto Fernández,
María José del Jesús,
Francisco Herrera:
On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets.
Expert Syst. Appl. 36(6): 9805-9812 (2009) |
| 29 |  | Alberto Fernández,
María José del Jesús,
Francisco Herrera:
Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets.
Int. J. Approx. Reasoning 50(3): 561-577 (2009) |
| 28 |  | Jesús Alcalá-Fdez,
Luciano Sánchez,
Salvador García,
María José del Jesús,
Sebastián Ventura,
Josep Maria Garrell i Guiu,
José Otero,
Cristóbal Romero,
Jaume Bacardit,
Víctor M. Rivas,
Juan Carlos Fernández,
Francisco Herrera:
KEEL: a software tool to assess evolutionary algorithms for data mining problems.
Soft Comput. 13(3): 307-318 (2009) |
| 2008 |
| 27 |  | Cristóbal J. Carmona,
María José del Jesús,
Pablo Guerrero,
Reyes Peña-Santiago,
Víctor M. Rivas:
Techniques of Engineering Applied to a Non-structured Data Model.
DCAI 2008: 410-414 |
| 26 |  | Elisabet Parras-Gutierrez,
María José del Jesús,
Juan Julián Merelo Guervós,
Víctor M. Rivas:
A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design.
DCAI 2008: 663-671 |
| 25 |  | Elisabet Parras-Gutierrez,
Víctor M. Rivas,
María José del Jesús:
Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm.
HAIS 2008: 140-147 |
| 24 |  | Alberto Fernández,
María José del Jesús,
Francisco Herrera:
A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets.
HIS 2008: 483-488 |
| 23 |  | Elisabet Parras-Gutierrez,
María José del Jesús,
Víctor M. Rivas,
Juan J. Merelo Guervós:
Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design.
HIS 2008: 519-524 |
| 22 |  | Pedro Pérez-Recuerda,
María Pilar Frías,
M. Dolores Pérez-Godoy,
Antonio Jesús Rivera Rivas,
María José del Jesús,
Elisabet Parras-Gutierrez,
F. J. Torres:
An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market.
HIS 2008: 943-946 |
| 21 |  | María José del Jesús,
Pedro González,
Francisco Herrera:
Subgroup Discovery with Linguistic Rules.
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 411-430 |
| 20 |  | Alberto Fernández,
Salvador García,
María José del Jesús,
Francisco Herrera:
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets.
Fuzzy Sets and Systems 159(18): 2378-2398 (2008) |
| 2007 |
| 19 |  | Jose Joaquin Aguilera,
Manuel Chica,
María José del Jesús,
Francisco Herrera:
Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule-based Classification Systems.
FUZZ-IEEE 2007: 1-6 |
| 18 |  | M. Dolores Pérez-Godoy,
Antonio Jesús Rivera Rivas,
María José del Jesús,
Ignacio Rojas:
CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm.
IWANN 2007: 324-332 |
| 17 |  | Alberto Fernández,
Salvador García,
María José del Jesús,
Francisco Herrera:
A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets.
IWANN 2007: 375-382 |
| 16 |  | Alberto Fernández,
Salvador García,
Francisco Herrera,
María José del Jesús:
An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets.
WILF 2007: 170-178 |
| 15 |  | María José del Jesús,
Pedro González,
Francisco Herrera,
Mikel Mesonero:
Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing.
IEEE T. Fuzzy Systems 15(4): 578-592 (2007) |
| 14 |  | Jorge Casillas,
Francisco Herrera,
R. Pérez,
María José del Jesús,
Pedro Villar:
Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off.
Int. J. Approx. Reasoning 44(1): 1-3 (2007) |
| 13 |  | Antonio Jesús Rivera Rivas,
Ignacio Rojas,
Julio Ortega,
María José del Jesús:
A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks.
Soft Comput. 11(7): 655-668 (2007) |
| 2006 |
| 12 |  | Francisco José Berlanga,
María José del Jesús,
María José Gacto,
Francisco Herrera:
A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems.
ICAISC 2006: 182-191 |
| 11 |  | Francisco José Berlanga,
María José del Jesús,
Pedro González,
Francisco Herrera,
Mikel Mesonero:
Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing.
Industrial Conference on Data Mining 2006: 337-349 |
| 2005 |
| 10 |  | Francisco José Berlanga,
María José del Jesús,
Francisco Herrera:
Learning compact fuzzy rule-based classification systems with genetic programming.
EUSFLAT Conf. 2005: 1027-1032 |
| 9 |  | María José del Jesús,
Pedro González,
Francisco Herrera,
Mikel Mesonero:
Evolutionary Induction of Descriptive Rules in a Market Problem.
Intelligent Data Mining 2005: 267-292 |
| 8 |  | Jorge Casillas,
Oscar Cordón,
María José del Jesús,
Francisco Herrera:
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction.
IEEE T. Fuzzy Systems 13(1): 13-29 (2005) |
| 2004 |
| 7 |  | María José del Jesús,
Frank Hoffmann,
Luis Junco Navascués,
Luciano Sánchez:
Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms.
IEEE T. Fuzzy Systems 12(3): 296-308 (2004) |
| 2003 |
| 6 |  | Antonio Jesús Rivera Rivas,
Julio Ortega,
Ignacio Rojas,
María José del Jesús:
Co-evolutionary Algorithm for RBF by Self-Organizing Population of Neurons.
IWANN (1) 2003: 470-477 |
| 2002 |
| 5 |  | Luciano Sánchez,
Jorge Casillas,
Oscar Cordón,
María José del Jesús:
Some relationships between fuzzy and random set-based classifiers and models.
Int. J. Approx. Reasoning 29(2): 175-213 (2002) |
| 2001 |
| 4 |  | M. Navío,
Jose Joaquin Aguilera,
María José del Jesús,
R. González,
Francisco Herrera,
C. Iríbar:
Feature Selection Algorithms Applied to Parkinson's Disease.
ISMDA 2001: 195-200 |
| 3 |  | Jorge Casillas,
Oscar Cordón,
María José del Jesús,
Francisco Herrera:
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems.
Inf. Sci. 136(1-4): 135-157 (2001) |
| 1999 |
| 2 |  | Oscar Cordón,
María José del Jesús,
Francisco Herrera:
A proposal on reasoning methods in fuzzy rule-based classification systems.
Int. J. Approx. Reasoning 20(1): 21-45 (1999) |
| 1998 |
| 1 |  | Oscar Cordón,
María José del Jesús,
Francisco Herrera,
Manuel Lozano:
Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 2(5): 56-61 (1998) |